AI-Driven Signal and Image Processing Seminar | Insights and Applications

Overview

In today’s data-driven world, industries are increasingly relying on AI to drive Industry 4.0 advancements and extract actionable insights from complex datasets. Signal and image processing are pivotal in sectors like healthcare, manufacturing, automotive, and communication. This seminar aims to bridge the gap between theoretical knowledge and practical applications, empowering participants to harness AI’s potential effectively for the Fourth Industrial Revolution.

Join us for an engaging session focused on leveraging Artificial Intelligence (AI) to revolutionize signal and image processing. This seminar is tailored for professionals, researchers, and enthusiasts keen on exploring cutting-edge techniques, tools, and practical applications of AI in various industries. Gain valuable insights into feature engineering, interoperability with open-source tools, and strategies for deployment, culminating in live demonstrations of AI in action.

Highlights:

AI-Driven Signal Processing: Leverage AI algorithms to process and interpret complex signal data.
AI-Driven Image Processing: Explore the role of AI in enhancing and analyzing visual information.
Feature Engineering: Learn how to extract and optimize key features for accurate AI models.
Open-Source Interoperability: Discover interoperability workflow for AI implementation.
Deployment: Understand how to transition from development to deployment seamlessly.
Live Demonstrations: Gain practical insights with live demos on:
- Explainability image anomaly detection.
- Predictive maintenance using anomaly detection.

Time	Topics
08.30 AM – 09.00 AM	Registration
09.00 AM – 09.30 AM	Keynote: AI and Predictive Analytics Across Industries Introduction to cross-industry applications of MATLAB for predictive maintenance and intelligent systems. Highlight trends in AI adoption in energy, healthcare, and transportation.
09.30 AM – 10.00 AM	AI-Driven Signal Processing Understanding signal processing fundamentals in AI applications Demo: Anomaly detection in Industrial Machinery using Vibration Data
10.00 AM – 10.30 AM	AI-Driven Image Processing Advanced techniques in image recognition and analysis Demo: Detect Image Anomalies using Explainable FCDD Network
10.30 AM – 10.45 AM	Break and Networking
10:45 AM–11:15 AM	Integrating Open-Source Tools with MATLAB Overview of open-source tools (e.g., TensorFlow, PyTorch, Python libraries). Discuss workflows for combining MATLAB with Python for seamless integration.
11.15 AM–11:45 PM	Application Development and Deployment  Creating standalone application for localized use Developing web-based applications for remote access and scalability Strategies for seamless deployment
11.45 AM–12:10 PM	Interactive Q&A and Closing Remarks

Key Takeaways

Participants will gain a comprehensive understanding of how AI can revolutionize signal and image processing.

Designing robust AI models for signal and image data.
Feature engineering for enhanced AI performance.
Implementing and deploying AI solutions to address real-world challenges.

Who Should Attend?

Engineers and data scientists.
Professionals in manufacturing, healthcare, energy, and related fields.
Academic researchers and students.
Anyone interested in the intersection of AI, signal and image processing.

Questions?

Feel free to reach out to us at events@techsource-asia.com. We’re happy to help!

Dr. Marta Patricia Tjoa, a Senior Application Engineer Team Lead at TechSource Systems, has decades of experience in expertly using MATLAB and Simulink. In roles like Technical Consultant, Application Engineer, and Training Engineer, she has empowered engineers and scientists, equipping them to harness MATLAB effectively for diverse projects.

Her expertise spans various specialized domains, including image processing, data science, artificial intelligence, control systems, embedded applications, and FPGA/SoC prototyping.

Dr. Tjoa earned her PhD from Nanyang Technological University in Singapore. Leveraging her extensive MATLAB proficiency, she has been instrumental in helping engineering professionals discover innovative techniques within MATLAB.

Jonathan Tee is an Application Engineer with expertise in signal processing and RF technologies. He has designed Phased Arrays, tackled Signal and Power Integrity challenges, and is passionate about using MATLAB for Communication Systems, RF Propagation, and AI-driven solutions.

An avid 3D modeling enthusiast, Jonathan even built his own 3D printer from scratch. He holds a Master of Engineering in Electrical and Electronics from Nottingham Malaysia.

Join Jonathan for an engaging session on leveraging AI to transform signal and image processing in today’s data-driven industries.

Sign up today!

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